18 citations · 54 across the 18 of their papers we have counts for
4 papers · 1 filter
Semantic Causal-Factor Inference from Aviation Incident Narratives Using A Variational Autoencoder with Cosine-Similarity-Based Reconstruction
AZIIDA NANYONGA1, HASSAN WASSWA, UGUR TURHAN +2
Aviation accident and incident investigations generate extensive unstructured textual information containing evidence relevant to the causes and contributing factors of safety occu…
Advanced modelling and data analytics in aviation
Aziida Nanyonga
The aviation industry characterized by its stringent safety standards has seen a growing need for innovative approaches to enhance safety measures. Despite the vast accumulation of…
Utilizing AI for Aviation Post-Accident Analysis Classification
Aziida Nanyonga, Graham Wild
The volume of textual data available in aviation safety reports presents a challenge for timely and accurate analysis. This paper examines how Artificial Intelligence (AI) and, spe…
Exploring Aviation Incident Narratives Using Topic Modeling and Clustering Techniques
Aziida Nanyonga, Hassan Wasswa, Ugur Turhan +2
Aviation safety is a global concern, requiring detailed investigations into incidents to understand contributing factors comprehensively. This study uses the National Transportatio…